Welcome to the research group of Prof. Philippe Renard also known as randlab.

We use a combination of statistical, physical, and inverse methods to represent the spatial and temporal variability of subsurface properties or climate. These approaches make it possible to understand the effect of the complexity and heterogeneity of the subsurface on hydrogeological phenomena. We study for example how pollutants may spread in an aquifer or how climate change may affect water availability.

Stochastic hydrogeology is crucial when it comes to making decisions about groundwater use, pollution risks, or infrastructure development that can affect water availability or quality. Randlab aims to train new generations of students and practitioners in these methods and advance the research in this field.